The GN2 b-jet tagger is calibrated in 56 fb⁻¹ of 13.6 TeV pp data using dileptonic tt̄ events, yielding data-to-simulation scale factors of 0.9–1.3 with ~1% uncertainty in the best bins.
Producing Hard Processes Regarding the Complete Event: The EPOS Event Generator
1 Pith paper cite this work. Polarity classification is still indexing.
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abstract
Jet cross sections can be in principle compared to simple pQCD calculations, based on the hypothesis of factorization. But often it is useful or even necessary to not only compute the production rate of the very high pt jets, but in addition the "rest of the event". The proposed talk is based on recent work, where we try to construct an event generator fully compatible with pQCD which allows to compute complete events, consisting of high pt jets plus all the other low pt particles produced at the same time. Whereas in "generators of inclusive spectra" like Pythia one may easily trigger on high pt phenomena, this is not so obvious for "generators of physical events", where in principle one has to generate a very large number of events in order to finally obtain rare events (like those with a very high pt jet). We recently developped an independnat block method which allow us ta have a direct access to dedicated variables 1. We will present latest results concerning this approach.
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Measurement of the $b$-jet identification efficiency in dileptonic $t\bar{t}$ events using proton-proton collision data at $\sqrt{s}=13.6$ TeV collected with the ATLAS detector
The GN2 b-jet tagger is calibrated in 56 fb⁻¹ of 13.6 TeV pp data using dileptonic tt̄ events, yielding data-to-simulation scale factors of 0.9–1.3 with ~1% uncertainty in the best bins.